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ORCIDJun Xu 0019
◁ ▷ joint publications with coauthor community group 1
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Publications
- 2024
[j30]Liqi Xue, Tianyi Xu, Yongbao Song, Yan Liu, Lei Zhang, Xiantong Zhen, Jun Xu
:
Lightweight improved residual network for efficient inverse tone mapping. Multim. Tools Appl. 83(25): 67059-67082 (2024)- [j29]Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1464-1478 (2024) - [j28]Guanhe Huang, Jingyue Shi, Jun Xu, Jing Li, Shengyong Chen, Yingjun Du, Xiantong Zhen, Honghai Liu:
Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder. IEEE Trans. Cybern. 54(4): 2592-2605 (2024) - [j27]Xiangxi Meng, Kaicong Sun, Jun Xu, Xuming He, Dinggang Shen:
Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing. IEEE Trans. Medical Imaging 43(7): 2587-2598 (2024) - [j26]Liyun Zuo, Baoyan Wang, Lei Zhang, Jun Xu, Xiantong Zhen:
Variational Neuron Shifting for Few-Shot Image Classification Across Domains. IEEE Trans. Multim. 26: 1460-1473 (2024) - [j25]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Jing Qin, Mingqiang Wei:
Dynamic Message Propagation Network for RGB-D and Video Salient Object Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 18:1-18:21 (2024) - [c22]Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu:
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. ICML 2024 - [d1]Wei Si, Zhaolin Zheng, Zhewei Huang, Xi-Ming Xu, Ruijue Wang, Ji-Gang Bao, Qiang Xiong, Xiantong Zhen, Jun Xu:
IRI-VFI dataset. IEEE DataPort, 2024
- [i31]Yuchen Yang, Yingdong Shi, Cheems Wang, Xiantong Zhen, Yuxuan Shi, Jun Xu:
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation. CoRR abs/2406.16282 (2024) - 2023
- [j24]Hao Hou, Jun Xu, Yingkun Hou, Xiaotao Hu, Benzheng Wei, Dinggang Shen:
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. IEEE Trans. Image Process. 32: 1184-1199 (2023) - [j23]Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, Ling Shao:
Latent Domain Generation for Unsupervised Domain Adaptation Object Counting. IEEE Trans. Multim. 25: 1773-1783 (2023) - [i30]Liqi Xue, Tianyi Xu, Yongbao Song, Yan Liu, Lei Zhang, Xiantong Zhen, Jun Xu:
Lightweight Improved Residual Network for Efficient Inverse Tone Mapping. CoRR abs/2307.03998 (2023) - [i29]Yuxuan Shi, Jun Xu, Dinggang Shen:
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images. CoRR abs/2311.09590 (2023) - 2022
- [j22]Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4793-4806 (2022) - [j21]Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10261-10269 (2022) - [j20]Anran Zhang, Jun Xu, Xiaoyan Luo, Xianbin Cao, Xiantong Zhen:
Cross-Domain Attention Network for Unsupervised Domain Adaptation Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6686-6699 (2022) - [c21]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2022: 905-918 - [c20]Chaowei Fang, Liang Wang, Dingwen Zhang, Jun Xu, Yixuan Yuan, Junwei Han:
Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. CVPR 2022: 20645-20654 - [c19]Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen:
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) 2022: 60-77 - [c18]Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu:
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. ECCV (19) 2022: 74-91 - [i28]Jin Liang, Anran Zhang, Jun Xu, Hui Li, Xiantong Zhen:
Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion. CoRR abs/2203.03624 (2022) - [i27]Hao Hou, Xiaotao Hu, Jun Xu, Yingkun Hou, Benzheng Wei, Dinggang Shen:
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution. CoRR abs/2205.03777 (2022) - [i26]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Mingqiang Wei, Jing Qin:
Dynamic Message Propagation Network for RGB-D Salient Object Detection. CoRR abs/2206.09552 (2022) - [i25]Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng:
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. CoRR abs/2207.03367 (2022) - 2021
- [j19]Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang:
Scaled Simplex Representation for Subspace Clustering. IEEE Trans. Cybern. 51(3): 1493-1505 (2021) - [j18]Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan:
Bilateral Attention Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 1949-1961 (2021) - [j17]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rongguo Zhang, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. IEEE Trans. Image Process. 30: 3113-3126 (2021) - [j16]Wenda Jin, Jun Xu, Qi Han, Yi Zhang, Ming-Ming Cheng:
CDNet: Complementary Depth Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 3376-3390 (2021) - [j15]Jun Xu, Zhi-Ang Liu, Yingkun Hou, Xiantong Zhen, Ling Shao, Ming-Ming Cheng:
Pixel-Level Non-local Image Smoothing With Objective Evaluation. IEEE Trans. Multim. 23: 4065-4078 (2021) - [c17]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CVPR 2021: 6388-6397 - [i24]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CoRR abs/2104.10642 (2021) - [i23]Ying-Jun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek:
MetaKernel: Learning Variational Random Features with Limited Labels. CoRR abs/2105.03781 (2021) - [i22]Hao Hou, Yingkun Hou, Yuxuan Shi, Benzheng Wei, Jun Xu:
NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement. CoRR abs/2106.06971 (2021) - [i21]Chaowei Fang, Liang Wang, Dingwen Zhang, Jun Xu, Yixuan Yuan, Junwei Han:
Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. CoRR abs/2112.10325 (2021) - 2020
- [j14]Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao:
STAR: A Structure and Texture Aware Retinex Model. IEEE Trans. Image Process. 29: 5022-5037 (2020) - [j13]Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao:
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising. IEEE Trans. Image Process. 29: 5121-5135 (2020) - [j12]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. IEEE Trans. Image Process. 29: 6288-6301 (2020) - [j11]Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao:
Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image. IEEE Trans. Image Process. 29: 9316-9329 (2020) - [j10]Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang:
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5079-5091 (2020) - [c16]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) 2020: 200-216 - [c15]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. ECCV (9) 2020: 249-265 - [c14]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. ECCV (12) 2020: 455-472 - [c13]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. ICML 2020: 11409-11419 - [c12]Wenda Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo:
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection. NeurIPS 2020 - [c11]Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang:
Variational Image Deraining. WACV 2020: 2395-2404 - [i20]Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng:
Deep Hough Transform for Semantic Line Detection. CoRR abs/2003.04676 (2020) - [i19]Yu-Huan Wu, Shanghua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Chao-Wei Zhao, Ming-Ming Cheng:
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. CoRR abs/2004.07054 (2020) - [i18]Ying-Jun Du, Jun Xu, Xiantong Zhen, Ming-Ming Cheng, Ling Shao:
Conditional Variational Image Deraining. CoRR abs/2004.11373 (2020) - [i17]Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng:
Gradient-Induced Co-Saliency Detection. CoRR abs/2004.13364 (2020) - [i16]Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan:
Bilateral Attention Network for RGB-D Salient Object Detection. CoRR abs/2004.14582 (2020) - [i15]Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek:
Learning to Learn Kernels with Variational Random Features. CoRR abs/2006.06707 (2020) - [i14]Shipeng Fu, Zhen Li, Jun Xu, Ming-Ming Cheng, Gwanggil Jeon, Xiaomin Yang:
Interactive Knowledge Distillation. CoRR abs/2007.01476 (2020) - [i13]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR abs/2007.07645 (2020) - [i12]Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. CoRR abs/2012.13095 (2020) - 2019
- [j9]Zhou Xu, Shuai Li, Xiapu Luo, Jin Liu, Tao Zhang, Yutian Tang, Jun Xu, Peipei Yuan, Jacky Keung:
TSTSS: A two-stage training subset selection framework for cross version defect prediction. J. Syst. Softw. 154: 59-78 (2019) - [j8]Zhou Xu, Shuai Li, Jun Xu, Jin Liu, Xiapu Luo, Yifeng Zhang, Tao Zhang, Jacky Keung, Yutian Tang:
LDFR: Learning deep feature representation for software defect prediction. J. Syst. Softw. 158 (2019) - [j7]Jun Xu, Wangpeng An, Lei Zhang, David Zhang:
Sparse, collaborative, or nonnegative representation: Which helps pattern classification? Pattern Recognit. 88: 679-688 (2019) - [c10]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. ICCV 2019: 3977-3986 - [c9]Jianguo Diao, Shuai Li, Yimin Wu, Fan Ye, Jun Xu, Junyan Ren:
Energy-Efficient Analog Frond-End Design for Ultrasound Imaging Applications. MWSCAS 2019: 1171-1174 - [i11]Jun Xu, Mengyang Yu, Li Liu, Fan Zhu, Dongwei Ren, Yingkun Hou, Haoqian Wang, Ling Shao:
STAR: A Structure and Texture Aware Retinex Model. CoRR abs/1906.06690 (2019) - [i10]Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao:
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising. CoRR abs/1906.06834 (2019) - [i9]Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao:
Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image. CoRR abs/1906.06878 (2019) - [i8]Haoqian Wang, Zhiwei Xu, Jun Xu, Wangpeng An, Lei Zhang, Qionghai Dai:
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition. CoRR abs/1908.03850 (2019) - [i7]Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao:
RANet: Ranking Attention Network for Fast Video Object Segmentation. CoRR abs/1908.06647 (2019) - 2018
- [j6]Dongwei Ren, Wangmeng Zuo, David Zhang, Jun Xu, Lei Zhang:
Partial Deconvolution With Inaccurate Blur Kernel. IEEE Trans. Image Process. 27(1): 511-524 (2018) - [j5]Jun Xu, Lei Zhang, David Zhang:
External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising. IEEE Trans. Image Process. 27(6): 2996-3010 (2018) - [c8]Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang:
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping. CVPR 2018: 4758-4766 - [c7]Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang:
A PID Controller Approach for Stochastic Optimization of Deep Networks. CVPR 2018: 8522-8531 - [c6]Jun Xu, Lei Zhang, David Zhang:
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. ECCV (8) 2018: 21-38 - [c5]Zhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang, Jin Liu, Jun Xu:
Cross version defect prediction with representative data via sparse subset selection. ICPC 2018: 132-143 - [i6]Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang:
Real-world Noisy Image Denoising: A New Benchmark. CoRR abs/1804.02603 (2018) - [i5]Jun Xu, Wangpeng An, Lei Zhang, David Zhang:
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification? CoRR abs/1806.04329 (2018) - [i4]Jun Xu, Lei Zhang, David Zhang:
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. CoRR abs/1807.04364 (2018) - [i3]Jun Xu, Deyu Meng, Lei Zhang:
Simplex Representation for Subspace Clustering. CoRR abs/1807.09930 (2018) - 2017
- [c4]Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng:
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. ICCV 2017: 1105-1113 - [i2]Jun Xu, Lei Zhang, David Zhang:
External Prior Guided Internal Prior Learning for Real Noisy Image Denoising. CoRR abs/1705.04505 (2017) - [i1]Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng:
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising. CoRR abs/1705.09912 (2017) - 2016
- [c3]Jun Xu, Dongwei Ren, Lei Zhang, David Zhang:
Patch Group Based Bayesian Learning for Blind Image Denoising. ACCV Workshops (1) 2016: 79-95 - 2015
- [j4]Jun Xu, Kui Xu, Ke Chen, Jishou Ruan:
Reweighted sparse subspace clustering. Comput. Vis. Image Underst. 138: 25-37 (2015) - [j3]Kui Xu, Ke Chen, Jun Xu, Jialin Tian, Hao Liu, Yufan Wang:
CGDNA: 基于簇图的基因组序列集成拼接算法 (CGDNA: An Ensemble De Novo Genome Assembly Algorithm Based on Clustering Graph). 计算机科学 42(9): 235-239 (2015) - [c2]Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng:
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. ICCV 2015: 244-252 - [c1]Yuanyuan Zhu, Xiaohe Wu, Jun Xu, David Zhang, Wangmeng Zuo:
Radius-margin based support vector machine with LogDet regularizaron. ICMLC 2015: 277-282 - 2014
- [j2]Yanping Zhang, Jun Xu, Wei Zheng, Chen Zhang, Xingye Qiu, Ke Chen, Jishou Ruan:
newDNA-Prot: Prediction of DNA-binding proteins by employing support vector machine and a comprehensive sequence representation. Comput. Biol. Chem. 52: 51-59 (2014) - [j1]Yajun Sheng, Xingye Qiu, Chen Zhang, Jun Xu, Yanping Zhang, Zheng Wei, Ke Chen:
Quad-PRE: A Hybrid Method to Predict Protein Quaternary Structure Attributes. Comput. Math. Methods Medicine 2014: 715494:1-715494:9 (2014)
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